Call for Contributions: Doctoral Symposium

ACM/IEEE 20th International Conference on Model Driven Engineering Languages and Systems

Austin, Texas, Sept 17-22, 2017

Event: Doctoral Symposium @ MoDELS 2017

Where: Austin, Texas
When: September 17, 18, or 19, 2017 (TBA)
Submission: July 1, 2017 (abstract); July 7, 2017 (paper)

The goal of the MoDELS 2017 Doctoral Symposium is to provide an international forum for doctoral students to interact with their fellow students and faculty mentors working in the area of model-driven engineering. The Symposium supports students by providing independent and constructive feedback about their already completed and, more importantly, planned research work. The Symposium will be attended by prominent experts in the field of model-driven engineering, who will actively participate in critical and constructive discussions.

Submission

Submissions (exclusively authored by the PhD student) are invited from students who have settled on a PhD topic, but are still sufficiently far away from completion to be able to take full advantage of the given feedback.

Submissions should present research in progress that is intended to lead to a PhD dissertation, using the following structure:

Submissions must not exceed five (5) pages plus two (2) pages for references. All submissions must conform to the Springer LNCS style (http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines).

All papers have to be submitted electronically in PDF format via Easychair:   
https://easychair.org/conferences/?conf=dsmodels17

Proceedings

Accepted submissions will be published on CEUR. Details will be communicated to the authors of accepted papers at the time of notification.

Important Dates

Abstract Submission July 1, 2017, AOE
Paper Submission July 7, 2017, AOE
Acceptance Notification July 28, 2017
Camera Ready August 15, 2017
Doctoral Symposium September 17, 18, or 19, 2017 (TBA)

Organizers

Program Committee

Contact

For any information please contact:  models-docsym@cs.utexas.edu